History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"lays"
Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
1373 | 2025-07-05 04:09:07 | lays | 2 | 29872 | 457 | 4.703 | 6351.7 |
1372 | 2025-07-03 06:49:12 | lays | 1 | 13983 | 35 | 0.236 | 59250.0 |
1371 | 2025-07-02 11:28:15 | lays | 1 | 13983 | 35 | 1.500 | 9322.0 |
1370 | 2025-07-01 22:43:27 | lays | 1 | 13983 | 35 | 1.390 | 10059.7 |
1369 | 2025-06-30 10:12:33 | lays | 1 | 13983 | 35 | 1.373 | 10184.3 |
1368 | 2025-06-28 05:31:57 | lays | 1 | 13983 | 35 | 1.843 | 7587.1 |
1367 | 2025-06-26 12:35:05 | lays | 1 | 13983 | 35 | 2.076 | 6735.5 |
1366 | 2025-06-25 23:00:46 | lays | 1 | 13983 | 35 | 1.390 | 10059.7 |
1365 | 2025-06-22 12:23:42 | lays | 2 | 29872 | 457 | 2.516 | 11872.8 |
1364 | 2025-06-18 10:46:17 | lays | 2 | 29872 | 457 | 8.486 | 3520.2 |
1363 | 2025-06-17 23:39:22 | lays | 1 | 13983 | 35 | 1.356 | 10311.9 |
1362 | 2025-06-17 05:18:23 | lays | 1 | 13983 | 35 | 1.313 | 10649.7 |
1361 | 2025-06-17 00:24:33 | lays | 2 | 29872 | 457 | 4.373 | 6831.0 |
1360 | 2025-06-14 05:08:38 | lays | 1 | 13983 | 35 | 1.283 | 10898.7 |
1359 | 2025-06-13 16:02:24 | lays | 1 | 13983 | 35 | 0.283 | 49409.9 |
1358 | 2025-06-12 13:02:01 | lays | 2 | 29872 | 457 | 4.376 | 6826.3 |
1357 | 2025-06-10 08:49:14 | lays | 2 | 29872 | 457 | 4.873 | 6130.1 |
1356 | 2025-06-01 21:37:03 | lays | 2 | 29872 | 457 | 8.690 | 3437.5 |
1355 | 2025-05-31 22:11:23 | lays | 1 | 13983 | 35 | 0.703 | 19890.5 |
1354 | 2025-05-30 02:39:22 | lays | 1 | 13983 | 35 | 1.373 | 10184.3 |
1353 | 2025-05-29 06:53:42 | lays | 2 | 29872 | 457 | 2.160 | 13829.6 |
1352 | 2025-05-29 05:56:05 | lays | 1 | 13983 | 35 | 0.296 | 47239.9 |
1351 | 2025-05-28 22:22:26 | lays | 2 | 29872 | 457 | 4.750 | 6288.8 |
1350 | 2025-05-28 15:43:59 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
1349 | 2025-05-28 05:03:16 | lays | 1 | 13983 | 35 | 0.373 | 37487.9 |
1348 | 2025-05-27 22:02:06 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
1347 | 2025-05-27 21:58:30 | lays | 2 | 29872 | 457 | 0.843 | 35435.3 |
1346 | 2025-05-27 10:31:25 | lays | 1 | 13983 | 35 | 1.156 | 12096.0 |
1345 | 2025-05-27 07:34:39 | lays | 2 | 29872 | 457 | 4.296 | 6953.4 |
1344 | 2025-05-25 06:32:06 | lays | 2 | 29872 | 457 | 0.940 | 31778.7 |
1343 | 2025-05-25 05:52:11 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
1342 | 2025-05-22 20:37:12 | lays | 1 | 13983 | 35 | 0.516 | 27098.8 |
1341 | 2025-05-19 14:15:13 | lays | 2 | 29872 | 457 | 0.873 | 34217.6 |
1340 | 2025-05-17 10:26:37 | lays | 1 | 13983 | 35 | 0.623 | 22444.6 |
1339 | 2025-05-15 04:07:19 | lays | 1 | 13983 | 35 | 0.263 | 53167.3 |
1338 | 2025-05-14 05:28:53 | lays | 1 | 13983 | 35 | 0.673 | 20777.1 |
1337 | 2025-05-14 01:18:48 | lays | 1 | 13983 | 35 | 0.843 | 16587.2 |
1336 | 2025-05-12 05:38:54 | lays | 1 | 13983 | 35 | 1.203 | 11623.4 |
1335 | 2025-05-09 11:08:51 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
1334 | 2025-05-08 10:11:49 | lays | 2 | 29872 | 457 | 2.296 | 13010.5 |
1333 | 2025-05-08 00:24:24 | lays | 2 | 29872 | 457 | 4.560 | 6550.9 |
1332 | 2025-05-07 12:03:15 | lays | 2 | 29872 | 457 | 0.970 | 30795.9 |
1331 | 2025-05-06 11:18:32 | lays | 2 | 29872 | 457 | 6.716 | 4447.9 |
1330 | 2025-05-05 04:09:47 | lays | 1 | 13983 | 35 | 0.263 | 53167.3 |
1329 | 2025-05-04 17:32:26 | lays | 2 | 29872 | 457 | 4.813 | 6206.5 |
1328 | 2025-05-03 18:20:22 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
1327 | 2025-05-02 21:52:57 | lays | 1 | 13983 | 35 | 1.406 | 9945.2 |
1326 | 2025-04-30 19:49:30 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
1325 | 2025-04-30 09:59:00 | lays | 1 | 13983 | 35 | 1.423 | 9826.4 |
1324 | 2025-04-29 22:26:56 | lays | 1 | 13983 | 35 | 0.920 | 15198.9 |
1323 | 2025-04-26 23:03:17 | lays | 1 | 13983 | 35 | 0.263 | 53167.3 |
1322 | 2025-04-24 17:29:18 | lays | 2 | 29872 | 457 | 0.830 | 35990.4 |
1321 | 2025-04-17 22:04:27 | lays | 1 | 13983 | 35 | 0.296 | 47239.9 |
1320 | 2025-04-15 10:25:41 | lays | 1 | 13983 | 35 | 1.346 | 10388.6 |
1319 | 2025-04-09 19:13:14 | lays | 1 | 13983 | 35 | 0.686 | 20383.4 |
1318 | 2025-04-07 12:28:34 | lays | 2 | 29872 | 457 | 4.076 | 7328.8 |
1317 | 2025-04-06 10:28:02 | lays | 2 | 29872 | 457 | 3.093 | 9657.9 |
1316 | 2025-04-06 00:14:02 | lays | 2 | 29872 | 457 | 6.500 | 4595.7 |
1315 | 2025-04-05 23:58:19 | lays | 1 | 13983 | 35 | 1.376 | 10162.1 |
1314 | 2025-04-05 10:59:54 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
1313 | 2025-04-04 16:58:14 | lays | 2 | 29872 | 457 | 4.703 | 6351.7 |
1312 | 2025-03-30 15:06:48 | lays | 1 | 13983 | 35 | 0.266 | 52567.7 |
1311 | 2025-03-29 11:54:27 | lays | 1 | 13983 | 35 | 0.983 | 14224.8 |
1310 | 2025-03-29 02:31:23 | lays | 1 | 13983 | 35 | 1.623 | 8615.5 |
1309 | 2025-03-28 23:53:51 | lays | 1 | 13983 | 35 | 1.223 | 11433.4 |
1308 | 2025-03-28 05:09:15 | lays | 1 | 13983 | 35 | 1.173 | 11920.7 |
1307 | 2025-03-25 06:02:21 | lays | 1 | 13983 | 35 | 0.530 | 26383.0 |
1306 | 2025-03-21 19:43:39 | lays | 2 | 29872 | 457 | 2.233 | 13377.5 |
1305 | 2025-03-18 05:05:38 | lays | 2 | 29872 | 457 | 6.283 | 4754.4 |
1304 | 2025-03-17 19:40:55 | lays | 1 | 13983 | 35 | 0.343 | 40766.8 |
1303 | 2025-03-14 21:47:01 | lays | 1 | 13983 | 35 | 1.373 | 10184.3 |
1302 | 2025-03-07 02:26:55 | lays | 2 | 29872 | 457 | 2.966 | 10071.5 |
1301 | 2025-03-07 02:04:15 | lays | 2 | 29872 | 457 | 4.343 | 6878.2 |
1300 | 2025-03-07 00:34:25 | lays | 2 | 29872 | 457 | 0.813 | 36742.9 |
1299 | 2025-03-06 16:44:40 | lays | 1 | 13983 | 35 | 1.093 | 12793.2 |
1298 | 2025-02-26 21:15:33 | lays | 1 | 13983 | 35 | 1.166 | 11992.3 |
1297 | 2025-02-24 21:44:21 | lays | 2 | 29872 | 457 | 4.436 | 6734.0 |
1296 | 2025-02-24 18:31:18 | lays | 1 | 13983 | 35 | 1.470 | 9512.2 |
1295 | 2025-02-24 10:58:02 | lays | 2 | 29872 | 457 | 2.610 | 11445.2 |
1294 | 2025-02-24 10:27:16 | lays | 2 | 29872 | 457 | 6.796 | 4395.5 |
1293 | 2025-02-24 10:09:05 | lays | 1 | 13983 | 35 | 0.690 | 20265.2 |
1292 | 2025-02-23 02:30:02 | lays | 1 | 13983 | 35 | 0.453 | 30867.5 |
1291 | 2025-02-20 18:12:32 | lays | 1 | 13983 | 35 | 0.940 | 14875.5 |
1290 | 2025-02-15 08:19:23 | lays | 2 | 29872 | 457 | 3.093 | 9657.9 |
1289 | 2025-02-04 13:18:23 | lays | 2 | 29872 | 457 | 3.310 | 9024.8 |
1288 | 2025-02-04 13:03:02 | lays | 1 | 13983 | 35 | 1.643 | 8510.7 |
1287 | 2025-01-25 18:01:09 | lays | 1 | 13983 | 35 | 0.233 | 60012.9 |
1286 | 2025-01-25 08:34:42 | lays | 2 | 29872 | 457 | 2.750 | 10862.5 |
1285 | 2025-01-25 07:41:19 | lays | 2 | 29872 | 457 | 4.250 | 7028.7 |
1284 | 2025-01-25 02:30:03 | lays | 2 | 29872 | 457 | 4.313 | 6926.0 |
1283 | 2025-01-25 02:24:39 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
1282 | 2025-01-24 02:08:24 | lays | 1 | 13983 | 35 | 1.070 | 13068.2 |
1281 | 2025-01-05 08:12:22 | lays | 1 | 13983 | 35 | 1.376 | 10162.1 |
1280 | 2024-12-26 14:14:59 | lays | 1 | 13983 | 35 | 1.300 | 10756.2 |
1279 | 2024-12-26 07:25:26 | lays | 1 | 13983 | 35 | 0.250 | 55932.0 |
1278 | 2024-12-26 01:23:09 | lays | 1 | 13983 | 35 | 0.953 | 14672.6 |
1277 | 2024-12-25 01:35:53 | lays | 1 | 13983 | 35 | 0.626 | 22337.1 |
1276 | 2024-12-18 16:12:28 | lays | 1 | 13983 | 35 | 1.923 | 7271.5 |
1275 | 2024-12-14 14:30:13 | lays | 1 | 13983 | 35 | 0.970 | 14415.5 |
1274 | 2024-12-06 04:06:56 | lays | 1 | 13983 | 35 | 0.690 | 20265.2 |